@article {chen_research_2022,
	title = {Research on an Extensible Monitoring System of a Seafloor Observatory Network in Laizhou Bay},
	journal = {Journal of Marine Science and Engineering},
	volume = {10},
	number = {8},
	year = {2022},
	note = {Number: 8 Publisher: Multidisciplinary Digital Publishing Institute},
	month = {aug},
	pages = {1051},
	abstract = {An extensible remote monitoring system for a seafloor observatory network in Laizhou Bay was established to realize long-term, continuous and on-line monitoring for a marine ranching environment. This paper deals with data communication, device management and data quality control. A control model is introduced that is structured into four layers, enabling bidirectional information flow. Based on the control model, the standardized communication protocol and device object model-oriented dynamic management method are designed as plug-and-play, for data processing and control of a large number of devices. An improved data quality control method is proposed to reduce the data error rate. The monitoring system was developed based on socket network programming, MySQL database technologies and modular ideas. The seafloor observatory network was successfully deployed in Laizhou Bay marine ranching. The experimental results demonstrate that the monitoring system obtains better performance. The proposed algorithms can also be used in many other similar systems with adaptive requirements.},
	keywords = {data communication, data quality control, device management, marine ranching, remote monitoring, seafloor observatory network},
	issn = {2077-1312},
	doi = {10.3390/jmse10081051},
	url = {https://www.mdpi.com/2077-1312/10/8/1051},
	author = {Chen, Jie and Liu, Hailin and Lv, Bin and Liu, Chao and Zhang, Xiaonan and Li, Hui and Cao, Lin and Wan, Junhe}
}
@article {RN96,
	title = {A Seabed Real-Time Sensing System for In-Situ Long-Term Multi-Parameter Observation Applications},
	journal = {Sensors},
	volume = {19},
	number = {5},
	year = {2019},
	pages = {1255},
	type = {Journal Article},
	abstract = {Aiming at the real-time observation requirements in marine science and ocean engineering, based on underwater acoustic communication and satellite communication technology, a seabed real-time sensing system for in-situ long-term multi-parameter observation applications (SRSS/ILMO) is proposed. It consists of a seabed observation system, a sea surface relay transmission buoy, and a remote monitoring system. The system communication link is implemented by underwater acoustic communication and satellite communication. The seabed observation system adopts the {\textquotedblleft}ARM + FPGA{\textquotedblright} architecture to meet the low power consumption, scalability, and versatility design requirements. As a long-term unattended system, a two-stage anti-crash mechanism, an automatic system fault isolation design, dual-medium data storage, and improved Modbus protocol are adopted to meet the system reliability requirements. Through the remote monitoring system, users can configure the system working mode, sensor parameters and acquire observation data on demand. The seabed observation system can realize the observation of different fields by carrying different sensors such as those based on marine engineering geology, chemistry, biology, and environment. Carrying resistivity and pore pressure sensors, the SRSS/ILMO powered by seawater batteries was used for a seabed engineering geology observation. The preliminary test results based on harbor environment show the effectiveness of the developed system.},
	keywords = {buoy, real-time, remote monitoring, satellite communication, seabed observation, sensing, underwater acoustic communication},
	doi = {10.3390/s19051255},
	url = {https://app.dimensions.ai/details/publication/pub.1112750908 https://www.mdpi.com/1424-8220/19/5/1255/pdf},
	author = {Liu, Lanjun and Liao, Zhibo and Chen, Caiyi and Chen, Jialin and Niu, Jiong and Jia, Yonggang and Guo, Xiujun and Chen, Zhaowei and Deng, Li and Xu, Haibo and Liu, Tao}
}
